2.6k citations · 4.1k across the 18 of their papers we have counts for
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eess.IV2017★ 649 cited
A Review of Convolutional Neural Networks for Inverse Problems in Imaging
Michael T. McCann, Kyong Hwan Jin, Michael Unser
In this survey paper, we review recent uses of convolution neural networks (CNNs) to solve inverse problems in imaging. It has recently become feasible to train deep CNNs on large…
cs.CV2017★ 379 cited
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen +2
We present a new method for image reconstruction which replaces the projector in a projected gradient descent (PGD) with a convolutional neural network (CNN). CNNs trained as high-…